548-0919/01 – Digital Processing of Remotely Sensed Data (DZDPZ)

Gurantor departmentDepartment of GeoinformaticsCredits10
Subject guarantorprof. Ing. Jiří Horák, Dr.Subject version guarantorprof. Ing. Jiří Horák, Dr.
Study levelpostgraduateRequirementOptional
YearSemesterwinter + summer
Study languageCzech
Year of introduction2002/2003Year of cancellation2012/2013
Intended for the facultiesHGF, FBI, FEI, FASTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 prof. Ing. Jiří Horák, Dr.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+0

Subject aims expressed by acquired skills and competences

The aim of the subject is to educate students how process and analyse digital data from the remote sensing, classified them, assess and interpret them for various application domains. The critical assessment of data sources, its processing and synthesis of this information in proposals of effective projects.

Teaching methods

Individual consultations

Summary

Zobrazování, komprese, kódování dat. Matematické základy digitálního zpracování dat v DPZ. Úprava obrazu. Matematická morfologie. Barevné modely a jejich převody. Barevné syntézy pro multispektrální data. Radiometrické korekce obrazu. Geometrické korekce obrazu. Diferenciální překreslení digitálních snímků, využití DTM. Geometrické transformace (převzorkování). Spojování snímků. Klasifikace obrazu. Příznakové rozpoznání. Trénovací a testovací množina. Neřízená klasifikace. Kontexturální klasifikace. Využití expertních systémů.

Compulsory literature:

Lillesand T., Kiefer R.: Remote sensing and image interpretation. John Wiley & Sons, 1994

Recommended literature:

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

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Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Mathematical fundamentals of digital data processing in Remote Sensing. Image modification. Mathematical morphology. Colour models and transformation. Colour synthesis for multispectral data. Radiometric corrections of images. Geometric corrections of images. Differential adjusting of digital images, utilization of DEM. Resampling. Merging. Classification. Detection and recognition of landscape features. Training and testing sets. Uncontrolled classification. Contextural classification. Subpixel classification. Processing of image with very high resolution. Using expert systems.

Conditions for subject completion

Full-time form (validity from: 2009/2010 Winter semester, validity until: 2012/2013 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2010/2011 (P3646) Geodesy and Cartography (3602V002) Geoinformatics P Czech Ostrava Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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